Professional Services Consultant, AI Solutions
Lead end-to-end AI agent deployments for enterprise customers, combining strategic advisory with hands-on configuration, testing, and enablement to drive measurable workflow automation outcomes.
Construction Analytics Solutions Engineer
Embed with construction customers to integrate AI-captured progress data with project data, build automated executive dashboards, and support internal data infrastructure using SQL, Python, and BI tools.
110k – 135kUnited StatesSolutions ArchitectureRemote5+ YOE
About the role
Responsibilities
- Own the scoping and definition of reporting deliverables for customer engagements including discovery of stakeholder needs, alignment on KPIs, data source inventory, delivery cadence, and acceptance criteria
- Combine Doxel data with customer data (schedule, cost, WBS, commissioning trackers) to create integrated, automated reporting solutions
- Support and enhance existing internal data pipelines spanning GCS, Snowflake, Coalesce, and Sigma Computing, contributing to data transformation, modeling, and visualization workflows
- Centralize and improve internal reporting metrics by consolidating data from disparate sources into unified, reliable views
- Standardize data models and report templates to ensure consistency, repeatability, and scalability across customer deployments and internal reporting
- Track and report on metrics related to report delivery, including timeliness, accuracy, adoption, and stakeholder satisfaction
- Collaborate with engineering and product teams to identify reporting gaps, surface data quality issues, and enhance reporting solutions
- Present polished, executive-ready reporting and/or dashboards to construction and owner leadership
- Conduct site visits, trainings, and discovery with customers' field teams at construction projects
Requirements
- 5+ years' experience in construction management, project controls, construction tech implementation, or consulting
- Experience leading discovery and requirements-gathering sessions with cross-functional stakeholders to translate ambiguous business needs into well-defined reporting specifications and project plans
- Strong history creating automated executive presentations from concept to production ready
- Deep understanding of large commercial construction workflows, schedules (P6), earned value analysis, and BIM/VDC workflows
- Experience leveraging data from BIM/VDC models to enrich project reporting
- Proficient in SQL, Python, or Javascript, and data wrangling; comfortable working with APIs and integrating disparate data sources
- Experience with BI tools (Power BI, Tableau, Looker) and reporting automation
- Willing to travel up to 25%
Nice-to-Haves
- Experience with modern cloud-based ETL and BI platforms (e.g., dbt, Fivetran, Matillion, Coalesce, Sigma Computing)
- Experience working with cloud data warehouses (Snowflake, BigQuery) and cloud storage (GCS, S3)
- Familiarity with data governance practices including metadata management, data lineage documentation, and catalog tools (e.g., Coalesce Catalog, Atlan)
- Previous professional services or consulting experience
- Familiarity with construction management systems (Procore, Aconex, Autodesk Build)
Skills
SQLPythonJavaScriptPower BITableauLookerSnowflakeGcsCoalesceSigma ComputingdbtFivetranMatillionBimVdc
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